binlingnie Goto Github PK

algorithm-

leetcode and 剑指offer

algorithm-stanford

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

artificial-intelligence-terminology-database

A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain

awesome-active-learning

Everything you need about Active Learning (AL).

awesome-chinese-llm

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

awesome-chinese-ner

中文命名实体识别。包含目前最新的中文命名实体识别论文、中文实体识别相关工具、数据集，以及中文预训练模型、词向量、实体识别综述等。

awesome-llm-kg

Awesome papers about unifying LLMs and KGs

awesome-noisy-labels

A Survey

awesome_information_extraction

Literature Survey of Information Extraction, especially Relation Extraction, Event Extraction, and Slot Filling.

ckge-icpr

Joint Knowledge Base Embedding with Neighborhood Context

cnn-graph-classification

A convolutional neural network for graph classification in PyTorch

conference-acceptance-rate

Statistics of acceptance rate for the main AI conference

cs224n-code

assignments for stanford CS224N

deep-learning-course-code

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

deeplearning4nlp-tutorial

Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hitl-nlp

kefda

knowlm

An Open-sourced Knowledgable Large Language Model Framework.

llmsninestorydemontower

【LLMs九层妖塔】分享 LLMs在自然语言处理（ChatGLM、Chinese-LLaMA-Alpaca、小羊驼 Vicuna、LLaMA、GPT4ALL等）、信息检索（langchain）、语言合成、语言识别、多模态等领域（Stable Diffusion、MiniGPT-4、VisualGLM-6B、Ziya-Visual等）等 实战与经验。

llmspracticalguide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

low-resource-kepapers

A Paper List of Low-resource Information Extraction

machine-learning-course-code

codes for Andrew Ng. machine learning course

neurips_2020_distillation

Code for "Self-Distillation as Instance-Specific Label Smoothing"

nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

nlpcc2016team1repl

implementation of "Open Domain Question Answering System Based on Knowledge Base"

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)